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Geospatial Data Scientist Jobs (NOW HIRING)

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

GeoYeti

Expert Data Scientist

Augusta, GA

Expert Data Scientist Augusta, GA Active TS/SCI At Bcore, our strength comes from how we deliver ... Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

Prescient Edge

SME- Data Scientist

Augusta, GA · On-site

Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.

SOSi

Data Scientist Expert

Gordon, GA · On-site

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

Shipt, Inc.

Data Scientist

Birmingham, AL · On-site

Impact As a Data Scientist specializing in geospatial intelligence, you will help power the next generation of final-mile logistics. This role will develop advanced models and data systems that ...

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Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do geospatial data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance later in life by acquiring relevant skills such as programming, GIS tools, and statistical analysis. Age is generally not a barrier if you develop the necessary technical expertise and stay current with industry tools.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Geospatial Data Scientist position, and why are they important?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing use of geographic information systems in sectors like urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and data visualization are valuable, and the field is expected to grow as organizations rely more on location-based data for decision-making.

What is the highest paying GIS job?

The highest paying GIS-related roles are often senior positions such as GIS Manager, Geospatial Data Scientist, or GIS Director, with salaries exceeding $100,000 annually depending on experience, industry, and location. Specialized skills in programming, data analysis, and proficiency with tools like ArcGIS or QGIS can also contribute to higher compensation.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

A geospatial data scientist analyzes spatial data to identify patterns, trends, and insights related to geographic locations. They use tools like GIS software, programming languages such as Python or R, and spatial databases to process and visualize data for decision-making in fields like urban planning, environmental management, and transportation.
More about Geospatial Data Scientist jobs
What cities are hiring for Geospatial Data Scientist jobs? Cities with the most Geospatial Data Scientist job openings:
What are the most commonly searched types of Geospatial Data Scientist jobs? The most popular types of Geospatial Data Scientist jobs are:
What states have the most Geospatial Data Scientist jobs? States with the most job openings for Geospatial Data Scientist jobs include:
What job categories do people searching Geospatial Data Scientist jobs look for? The top searched job categories for Geospatial Data Scientist jobs are:
Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Mid-Level Data Scientist

Mid-Level Data Scientist

Leidos

Springfield, VA • On-site

$73K - $132K/yr

Full-time

Posted 12 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services

Job description

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA.
This team member will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.
We're looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.
Primary Responsiblities
  • Collect process data and perform data analysis.
  • Integrate centralized protect and maintain data in DBMS.
  • Clean massage and organized data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
  • Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes
  • Assist with creation/maintenance of tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
  • Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.
  • Assist in providing support to Business Processing Re-engineering.
  • Perform Data Conversion/migration
  • Assist with development and performance of automated Business Analytics.

Basic Qualifications
  • Typically requires a BA degree and 4 - 8 years of prior relevant experience or Master's with 2 - 6 years of prior relevant experience.
  • 1 - 3 years of experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics.
  • 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.
  • 3 - 5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, scripts and familiar familiarity of querying with SQL. Knowledge and experience using developing code using versions control tools like get advance, knowledge and data science, including the areas of data services, modeling, and analytics.
  • Active TS/SCI clearance with ability to be approved for a CI Poly

Preferred Qualifications
  • 1 - 3 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions.
  • Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats.
  • Experience building dashboards/websites portraying data analytics.
  • Experience cleansing, structuring, large sets of data.
  • Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server
  • Experience with ESRI Workflow Manager, WMX and TAM
  • Knowledge of database systems and architecture
  • Ability writing SQL.
  • Understanding, cloud architecture, and Dev Ops.
  • Knowledge of symbolization rules.
  • Knowledge of generalization rules.
  • Experience working with geospatial data in multiuser enterprise environment.
  • Minimum 2 years of experience working with data quality control, tools, including ArcGIS data reviewer
  • Knowledge of metrics dissemination.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Ability to convert structure data into structured Data

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 11, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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